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Hi there! 👋🏼

I'm Faiz! I'm aspiring to become a data professional, and I'm all about that hustle to keep learning and growing in the data game. I'm diving into the world of data analysis, data science, and data engineering, even though my formal education didn't exactly lead me down the computer science or statistics path. But guess what? I'm not letting that stop me!

✅ Competencies

Explotaroty Data Analysis, Data Wraggling, Statistical Analysis, Data Visualization, Machine Learning, Natural Language Processing, ETL/ELT, RDBMS

💻 Tech Stack

Python, SQL (MySQL, Postgres, MS SQL Server, Dbeaver), BigQuery, Tableau, Looker Studio, Spark, Airflow, Kafka, Docker, Google Cloud, Streamlit

📂 Project Portofolio

Click here, please!

Faiz Naida's Projects

8-week-sql-challenge icon 8-week-sql-challenge

This repository contains the solution to the SQL case study in the 8WeekSQLChallenge, DataWithDanny.

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

faizns icon faizns

Config files for my GitHub profile.

faizs-data-portofolio icon faizs-data-portofolio

This documentation is like a quick snapshot of my project in the data field, showing off my skills and know-how in this area.

final-project-fraud-transaction-pipeline icon final-project-fraud-transaction-pipeline

Developed a comprehensive end-to-end pipeline for online transaction fraud detection and integrated batch and streaming architecture to ensure real-time monitoring and efficient analysis. This system is also capable of identifying fraudulent activities, providing an approach to prevent fraud.

first-analysis-fga icon first-analysis-fga

Project ke-2 melakukan analisis deskriptif dalam program pelatihan Big Data using Python, FGA Digitalent Scoolarship Kominfo pada Juli - Agustus 2022

learning_time_series icon learning_time_series

these are my notes and hands on about learning time series forecasting from various sources

ntx-de icon ntx-de

Despite the deadline for completion having passed, I would like to attempt to resolve the remaining or unresolved issues. Please check in branches: solved

online-shoppers-purchasing-intention icon online-shoppers-purchasing-intention

Final Project for Rakamin Academy. This project is focused on applying machine learning classification models to e-commerce data. Specifically, we built a classification model with the objective to determine whether a website visitor will complete a purchase or not.

predict-clicked-ads-customer-classification icon predict-clicked-ads-customer-classification

This repository contains a machine learning model for predicting customer click-through rate on ads. By analyzing user demographics and browsing behavior, the model aims to identify potential customers with a higher likelihood of clicking on ads.

project-python-fga icon project-python-fga

Sebuah project python programming dalam program pelatihan Big Data using Python, FGA Digitalent Scoolarship Kominfo pada Juli - Agustus 2022

telco-customers-churn icon telco-customers-churn

This repository contains the completion of challenges in the Data Science Batch 1, FGA Kominfo RI x Binar Academy program. It focuses on predicting customer churn in a telecom company using machine learning classification approaches.

vix-big-data-analytics-kimia-farma icon vix-big-data-analytics-kimia-farma

Repositori ini berisi dokumentasi pengerjaan tugas Virtual Internship Experience Big Data Analytics di Kimia Farma yang difasilitasi oleh Rakamin Academy.

vix-data-analytics-kpmg-au icon vix-data-analytics-kpmg-au

This repository contains solutions to tasks to be performed during the Data Analytics Virtual Internship Experience provided by KPMG through Forage.

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